Return to Hamilton Home Page Computer Science 831:
Knowledge Discovery in Databases

Course Description

Outlines

Items of Interest

Site Map of Course Notes

  1. KDD Process
  2. Virtuous Cycle of Data Mining
  3. Machine Learning Background
  4. Confusion Matrix
  5. Cumulative Gains Chart and Lift Chart
  6. Data Cubes
  7. Itemsets
  8. Clustering
  9. Rough Sets

Written by: Howard Hamilton, Ergun Gurak, Leah Findlater, Wayne Olive, and James Ranson.
Last updated May 11, 2012.
Copyright © 2000-7 by Howard J. Hamilton, Department of Computer Science, University of Regina, Regina, Sask., Canada S4S 0A2